Top Hybrid Machine Learning Engineer Jobs

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

The Staff Machine Learning Engineer will develop ML models to enhance ad offerings, collaborate on product improvements, and publish research findings.

The Machine Learning Specialist will develop predictive models for portfolio optimization and investment analysis, ensuring rigorous testing and deployment in a cloud environment.

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

Lead design, development, and monitoring of production ML and LLM/NLP systems. Own feature engineering, evaluation frameworks, model diagnostics, bias analysis, and cross-functional productionization with Product and Engineering.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

The role involves designing and implementing ML systems for pricing, managing data pipelines, and improving model performance and reliability. It requires collaboration with cross-functional teams and mentorship for engineers.

Design and conduct advanced data analyses and develop machine learning models for mental health research, working with large datasets and multimodal methods.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.